Q-omics provides the consensus-scored GBAP1 profile across patient tissues and cancer cell-line models. GBAP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, GBAP1 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, GBAP1 RNA expression shows 18,905 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, and UVM as cancer lineages where GBAP1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for GBAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GBAP1 survival associations across molecular data types. GBAP1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GBAP1 RNA expression–survival associations across cancer types. High GBAP1 expression shows unfavorable associations in KIRC, LIHC, KICH, READ and UVM, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for GBAP1 RNA expression.
This table summarizes GBAP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GBAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GBAP1 shows higher tumor expression in HNSC, KIRC, COAD, LIHC, LUAD and KIRP. The HNSC box plot shows higher GBAP1 RNA expression in tumor versus normal tissue (log2 FC = +0.590, t-test p < 0.001).
This table shows molecular features associated with GBAP1 in patient tissues and cancer cell lines. In patient samples, GBAP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, GBAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
